Asset Market Interconnectedness and Exotic Options: The Mean Impact Surface. The project intends to develop models to price financial risk more accurately during periods of financial stress and increasing global interconnectedness. Specifically, it plans to develop a new class of latent factor models with time-varying loadings to model the interconnectedness of global financial markets during periods of financial stress. A key feature of the proposed model is the role of second-order conditional ....Asset Market Interconnectedness and Exotic Options: The Mean Impact Surface. The project intends to develop models to price financial risk more accurately during periods of financial stress and increasing global interconnectedness. Specifically, it plans to develop a new class of latent factor models with time-varying loadings to model the interconnectedness of global financial markets during periods of financial stress. A key feature of the proposed model is the role of second-order conditional moments of the underlying innovation processes in modelling asset return dynamics. The proposed model is characterised by higher order nonlinear structures which are captured graphically by the mean impact surface. The project also plans to develop a new class of tests to detect higher order dependencies among asset returns in the presence of time-varying volatility, and to investigate the implications for constructing portfolios with exotic options to hedge risk during financial crises.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE150101889
Funder
Australian Research Council
Funding Amount
$350,000.00
Summary
Insider trading in financial markets. Insider trading destroys confidence in financial markets and undermines their fairness and efficiency. Substantial amounts of taxpayer money are spent each year in combatting insider trading, and yet cases of insider trading remain abundant. This project aims to advance our understanding of insider trading, its prevalence, social costs, characteristics and determinants, and how it responds to different penalties. This project aims to allow for more efficient ....Insider trading in financial markets. Insider trading destroys confidence in financial markets and undermines their fairness and efficiency. Substantial amounts of taxpayer money are spent each year in combatting insider trading, and yet cases of insider trading remain abundant. This project aims to advance our understanding of insider trading, its prevalence, social costs, characteristics and determinants, and how it responds to different penalties. This project aims to allow for more efficient use of regulatory resources through better rules, more accurate detection methods, and increased deterrence. It aims to benefit society through fairer and more efficient markets.Read moreRead less
Household mortgage choice: theoretical and empirical evidence. A house is often the largest component of household assets, and financing its purchase involves choosing a mortgage product from many alternatives. Inefficiencies and incompleteness in mortgage markets have important consequences. This project uncovers theoretical and empirical evidence on why Australians choose particular mortgage products.
Detecting financial contagion using high frequency data. Financial crises spread extraordinarily quickly. However, existing tools for measuring this spread use relatively low frequency data. This project develops tools for measuring and detecting periods of stress and the effects of financial contagion in financial markets, using high frequency data based on recorded transaction prices.
The predictive, behavioural and economic forecasting performance of alternative credit risk and bankruptcy models: a global study. This study empirically evaluates a range of "new age" credit risk models using a large global sample of failed firms and bond ratings data. The study will provide a substantive body of empirical evidence to assist regulators, creditors, investors and other users assess the merits, strengths and limitations of alternative risk modelling approaches.
Discovery Early Career Researcher Award - Grant ID: DE150100708
Funder
Australian Research Council
Funding Amount
$352,000.00
Summary
Understanding the Linkage of Public and Private Risk in the Global Economy. This project aims to develop a richly detailed model of the global financial system including both public and private institutions. By treating the system as a network of interconnected entities, this project aims to introduce new techniques to map and to trace the evolution of risk in the financial system, to forecast the spillover of risk between entities in the system, and to conduct counterfactual analysis of potenti ....Understanding the Linkage of Public and Private Risk in the Global Economy. This project aims to develop a richly detailed model of the global financial system including both public and private institutions. By treating the system as a network of interconnected entities, this project aims to introduce new techniques to map and to trace the evolution of risk in the financial system, to forecast the spillover of risk between entities in the system, and to conduct counterfactual analysis of potential policy measures. This project will investigate the link between spillover intensity and the existing research on extreme events in financial data. By studying how the recent crisis spread through the global financial system, this project aims to enhance our ability to foresee future crises and to mitigate their impact and costs.Read moreRead less
Endgame: managing superannuation in later life. This project aims to come up with strategies for improving superannuation advice for the elderly - including retirees, and also those on the cusp of retirement, who often have little or no scope for working harder or longer to restore their finances. It applies recent developments in financial economics to improve the quality of financial planning advice.